2015 IEEE Congress on Evolutionary Computation (CEC)最新文献_第2页

Feature selection and classification using ensembles of genetic programs and within-class and between-class permutations 利用遗传程序集合和类内、类间排列进行特征选择和分类

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7257015

Annica Ivert, C. Aranha, H. Iba

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引用次数: 1

Critical properties of cellular automata with evolving network topologies 演化网络拓扑的元胞自动机的关键性质

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7257144

Christian Darabos, J. Moore

引用次数: 1

A co-evolutionary algorithm based on mixed mutation strategy for WDP in combinatorial auction 组合拍卖中基于混合突变策略的协同进化算法

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7257270

Wei-gen Hou, Hongbin Dong, Guisheng Yin, Yuxin Dong

引用次数: 0

Short-term optimal hydrothermal scheduling problem considering power flow constraint 考虑潮流约束的短期热液最优调度问题

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7257294

Jingrui Zhang, Shuang Lin, Xiangxiang Zeng, Qinghui Tang

引用次数: 5

Investigating the robustness of aisles in a non-traditional unit-load warehouse design: Leverage 调查非传统单位负载仓库设计中通道的稳健性:杠杆

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7257160

Ömer Öztürkoğlu

引用次数: 9

Application of EPSO to designing a contract model of weather derivatives in Smart Grid EPSO在智能电网天气导数合约模型设计中的应用

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7256909

H. Mori, H. Fujita

引用次数: 3

An effective cooperative coevolution framework integrating global and local search for large scale optimization problems 一种有效的协同进化框架，集成了大规模优化问题的全局和局部搜索

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7257129

Zijian Cao, Lei Wang, Yuhui Shi, Xinhong Hei, Xiaofeng Rong, Qiaoyong Jiang, Hongye Li

{"title":"An effective cooperative coevolution framework integrating global and local search for large scale optimization problems","authors":"Zijian Cao, Lei Wang, Yuhui Shi, Xinhong Hei, Xiaofeng Rong, Qiaoyong Jiang, Hongye Li","doi":"10.1109/CEC.2015.7257129","DOIUrl":"https://doi.org/10.1109/CEC.2015.7257129","url":null,"abstract":"Cooperative Coevolution (CC) was introduced into evolutionary algorithms as a promising framework for tackling large scale optimization problems through a divide-and-conquer strategy. A number of decomposition methods to identify interacting variables have been proposed to construct subcomponents of a large scale problem, but if the variables are all non-separable, all the CC-based algorithms of decomposition will lose the functionality, therefore, classical CC-based algorithms are inefficient in processing non-separable problems that have many interacting variables. In this paper, a new CC framework which integrates global and local search algorithms is proposed for solving large scale optimization problems. In the stage of global cooperative coevolution, we introduce a new interacting variables grouping method named Sequential Sliding Window. When the performance of global search reaches a deviation tolerance or the variables are fully non-separable, we then use a more effective local search algorithm to subsequently search the solution space of the large scale optimization problem. The integration of global and local algorithms into CC framework can efficiently improve the capability in processing large scale non-separable problems. Experimental results on large scale optimization benchmarks show that the proposed framework is more effective than other existing CC frameworks.","PeriodicalId":403666,"journal":{"name":"2015 IEEE Congress on Evolutionary Computation (CEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115080457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

A modified cuckoo search algorithm for flow shop scheduling problem with blocking 带阻塞的流水车间调度问题的改进布谷鸟搜索算法

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7256925

Hui Wang, Wenjun Wang, Hui Sun, Changhe Li, S. Rahnamayan, Yong Liu

引用次数: 10

Memetic algorithm for solving resource constrained project scheduling problems 求解资源受限项目调度问题的模因算法

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7257231

Ismail M. Ali, S. Elsayed, T. Ray, R. Sarker

引用次数: 23

Search dynamics of fitness landscape learning evolutionary computation with two types of evolution control 两种进化控制下适应度景观学习进化计算的搜索动力学

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI: 10.1109/CEC.2015.7257204

Taku Hasegawa, Kento Tsukada, N. Mori, Keinosuke Matsumoto

引用次数: 0